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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 23736
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    Explanations

    words related to climate and natural disasters

    oai_token-act-pair · gpt-3.5-turbo

    words related to deception or covering up

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     breath
    -0.65
    osuke
    -0.61
    ologies
    -0.60
     firsthand
    -0.59
    uddin
    -0.59
    ifer
    -0.58
    agher
    -0.57
    ography
    -0.57
    orr
    -0.56
    ibling
    -0.55
    POSITIVE LOGITS
    ts
    2.24
    t
    2.15
    tes
    1.83
    ty
    1.82
    te
    1.73
    ted
    1.70
    ting
    1.67
    tt
    1.62
    tted
    1.61
    ta
    1.59
    Activations Density 0.199%

    No Known Activations